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Stars gained: From May 13, 2026 to Nov 11, 2026, each from zeroStars gainedFrom May 13, 2026 to Nov 11, 2026, each from zero0100May 13Nov 11, 2026dsgiitr/d2l-pytorchNVIDIA/DeepLearningExamples
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10K15KApr 25Nov 11, 2026dsgiitr/d2l-pytorchNVIDIA/DeepLearningExamples

Facts

Fact dsgiitr/d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

NVIDIA/DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Stars 4,36714,874
Net stars, last 30 days +4+17
Largest star day +2 on Jul 22, 2026+6 on May 21, 2026
Milestone reached in the record NoneNone
Forks 1,2293,399
Language Jupyter NotebookJupyter Notebook
License APACHE-2.0No license
Created May 11, 2019May 2, 2018
Last push Jul 25, 2024Aug 12, 2024
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases 0 of 3 checks (2 without data)0 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)0 of 3 checks
Commits, last 13 weeks No data0
Weeks with commits, last 52 No data0 of 52
In the Repository Index since Nov 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, nlp, computer-vision, pytorch, mxnet. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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